数据与计算发展前沿 ›› 2025, Vol. 7 ›› Issue (3): 122-135.

CSTR: 32002.14.jfdc.CN10-1649/TP.2025.03.010

doi: 10.11871/jfdc.issn.2096-742X.2025.03.010

• 技术与应用 • 上一篇    下一篇

基于数据隐私保护的自研医疗图像去标识化系统

张敬晨1(),王嘉阳1,赵远志1,周伟1,罗葳1,钱庆2,*()   

  1. 1.国家人口健康科学数据中心，中国医学科学院，北京协和医学院，北京 100730
    2.中国医学科学院，医学信息研究所，北京 100020
  • 收稿日期:2024-09-24 出版日期:2025-06-20 发布日期:2025-06-25
  • 作者简介:ZHANG Jingchen is a junior researcher who works at the Chinese Academy of Medical Sciences & Peking Union Medical College. Her research interests include bioinformatics and scientific data management.
    In this paper, she is mainly responsible for study design, software development, and paper writing.
    E-mail: jc02062021@126.com
    张敬晨，中国医学科学院 北京协和医学院，初级研究员。主要研究方向为生物信息学和科学数据管理。
    本文主要承担工作设计、软件开发和论文撰写。|QIAN Qing, doctoral supervisor, and the deputy director of the Library at the Institute of Medical Information, Chinese Academy of Medical Sciences. His main research areas include medical informatics, medical knowledge organization, and medical data management.
    In this paper, he is mainly responsible for conception, study design and funding acquisition.
    E-mail: qian.qing@imicams.ac.cn
    钱庆，中国医学科学院医学信息研究所图书馆副馆长，博士生导师。主要研究领域包括医学信息学、医学知识组织以及医学数据管理。
    本文主要负责工作的构思、设计以及资金获取。

A Custom Medical Image De-identification System Based on Data Privacy

ZHANG Jingchen1(),WANG Jiayang1,ZHAO Yuanzhi1,ZHOU Wei1,LUO Wei1,QIAN Qing2,*()   

  1. 1. National Population Health Data Center, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
    2. Institute of Medical Information/Medical Library, CAMS & PUMC, Beijing 100020, China
  • Received:2024-09-24 Online:2025-06-20 Published:2025-06-25
  • Contact: *Qian qing (E-mail:qian.qing@imicams.ac.cn)
  • Supported by:
    “National Orthopedics and Sports Rehabilitation Real-World Research Platform System Construction”(23-NCRC-CXJJ-ZD4)

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摘要：

【目的】医学影像数据有巨大的价值但包含了太多患者敏感信息。然而，全球各地对医学影像数据去标识化的法律规定并不明确。本研究旨在开发一种工具，以满足不同研究需求的合规性去标识化要求。【方法】为增强医学影像数据的安全性，在Windows操作系统上设计并实现了一个基于DICOM格式的医学影像数据去标识化系统。【结果】该自定义系统可以实现按照各国法律标准进行数据处理，并能满足特定研究需求。它同时提供了在线和离线去标识化功能，允许用户自定义去标识化规则，并支持批量处理以提升效率。【结论】这个医学影像去标识化系统有效地强化了对敏感医学数据的管理，确保了数据安全，促进了医学影像数据的共享与利用，同时释放了这些数据的潜在价值。

关键词: 去标识化系统, 医学影像, 数据隐私, DICOM, 数据共享

Abstract:

【Objective】Medical imaging data has great value, but it contains a significant amount of sensitive information about patients. At present, laws and regulations regarding to the de-identification of medical imaging data are not clearly defined around the world. This study aims to develop a tool that meets compliance-driven desensitization requirements tailored to diverse research needs. 【Methods】To enhance the security of medical image data, we designed and implemented a DICOM format medical image de-identification system on the Windows operating system. 【Results】Our custom de-identification system is adaptable to the legal standards of different countries and can accommodate specific research demands. The system offers both web-based online and desktop offline de-identification capabilities, enabling customization of de-identification rules and facilitating batch processing to improve efficiency. 【Conclusions】This medical image de-identification system robustly strengthens the stewardship of sensitive medical data, aligning with data security protection requirements while facilitating the sharing and utilization of medical image data. This approach unlocks the intrinsic value inherent in such datasets.

Key words: de-identification system, medical image, data privacy, DICOM, data sharing